Products

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: Nike,_Inc, Products: Nike produces a wide range of sports equipment and apparel.

[["Nike,_Inc.", "product", "Sports_equipment"], ["Nike,_Inc.", "product", "Athletic_shoes"], ["Nike,_Inc.", "product", "Apparel"]]


Sports apparel

company product service industry brand country location organization person founder position event action founding accusition merger partnership expansion restructuring divestment sale bankruptcy financial_metric business_concept revenue profit loss investment funding market_share competition market_trend regulation innovation sustainability corporate_social_responsibility award date/time year period

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is NER: Named Entity Recognition.

Here is an example of task execution:

{'Schema': ['Person', 'Organization', 'Location', 'Date', 'Product'], 'Text': 'The Eiffel Tower in Paris, designed by Gustave Eiffel, is one of the most famous landmarks in France.', 'Entities': [['Eiffel Tower', 'Location'], ['Paris', 'Location'], ['Gustave Eiffel', 'Person'], ['France', 'Location']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Entity", "Type"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: ["company", "product", "service", "industry", "brand", "country", "location", "organization", "person", "founder", "position", "event", "action", "founding", "accusition", "merger", "partnership", "expansion", "restructuring", "divestment", "sale", "bankruptcy", "financial_metric", "business_concept", "revenue", "profit", "loss", "investment", "funding", "market_share", "competition", "market_trend", "regulation", "innovation", "sustainability", "corporate_social_responsibility", "award", "date/time", "year", "period"]
Text: article: Nike,_Inc, Sports apparel: Nike's first apparel products were track running shoes.Nike Air Maxis a line of shoes first released by Nike, Inc. in 1987. Additional product lines were introduced later, such as Air Huarache, which debuted in 1992. The most recent additions to their line are the Nike 6.0, Nike NYX, andNike SBshoes, designed for skateboarding. Nike has recently introduced cricket shoes called Air Zoom Yorker, designed to be 30% lighter than their competitors'.In 2008, Nike introduced the Air Jordan XX3, a high-performance basketball shoe designed with the environment in mind. Nike's range of products include shoes, jerseys, shorts,cleats,baselayers, etc. for sports activities such as soccer,basketball, track and field,combat sports, tennis,American football, athletics, golf,ice hockey, andcross trainingfor men, women, and children. Nike also sells shoes for activities such asskateboarding, baseball, cycling, volleyball,wrestling,cheerleading,lacrosse,cricket, aquatic activities, auto racing, and other athletic and recreational uses. Nike partnered withApple Inc.to produce theNike+product that monitors a runner's performance via a radio device in the shoe that links to theiPod nano. While the product generates useful statistics, it has been criticized by researchers who were able to identify users'RFIDdevices from 60 feet (18 m) away using small, concealable intelligencemotesin awireless sensor network. In 2004, Nike launched theSPARQ Training Program/Division.Some of Nike's newest shoes containFlywireand Lunarlite Foam to reduce weight.The Air Zoom Vomero running shoe, introduced in 2006 and currently in its 11th generation, featured a combination of groundbreaking innovations including a full-length air cushioned sole,an external heel counter, a crashpad in the heel for shock absorption, and Fit Frame technology for a stable fit. In 2023, Nike told ESPN that it would cease using kangaroo skins in its products by the end of that year and debut "a new Nike-only, proprietary synthetic upper, [with] a new material that is a better performance solution and replaces the use of kangaroo leather." The Nike Vaporfly first came out in 2017 and their popularity, along with its performance, prompted a new series of running shoes.The Vaporfly series has a new technological composition that has revolutionized long-distance running since studies have shown that these shoes can improve marathon race time up to 4.2%.The composition of the sole contains a foamy material, Pebax, that Nike has altered and now calls it ZoomX (which can be found in other Nike products as well). Pebax foam can also be found in airplane insulation and is "squishier, bouncier, and lighter" than foams in typical running shoes.In the middle of the ZoomX foam there is a full-length carbon fiber plate "designed to generate extra spring in every step".At the time of this writing Nike had just released its newest product from the Vaporfly line, the Nike ZoomX Vaporfly NEXT%, which was marketed as "the fastest shoe we’ve ever made" using Nike's "two most innovative technologies, Nike ZoomX foam and VaporWeave material".

[["Nike,_Inc.", "Company"], ["Air_Zoom_Vomero", "Product"], ["2006", "Year"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX_Vaporfly", "Company"], ["Air_Huarache", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Company"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Company"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Company"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Company"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Company"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike_ZoomX_Vaporfly", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Product"], ["Nike_ZoomX_Vaporfly_NEXT%", "Company"], ["Nike_ZoomX", "Product"], ["Nike_ZoomX_Vaporfly", "Product"], ["Air_Zoom_Vomero", "Product"], ["Nike_ZoomX_Vaporfly", "Company"], ["Nike


Sports apparel

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: Nike,_Inc, Sports apparel: Nike's first apparel products were track running shoes.Nike Air Maxis a line of shoes first released by Nike, Inc. in 1987. Additional product lines were introduced later, such as Air Huarache, which debuted in 1992. The most recent additions to their line are the Nike 6.0, Nike NYX, andNike SBshoes, designed for skateboarding. Nike has recently introduced cricket shoes called Air Zoom Yorker, designed to be 30% lighter than their competitors'.In 2008, Nike introduced the Air Jordan XX3, a high-performance basketball shoe designed with the environment in mind. Nike's range of products include shoes, jerseys, shorts,cleats,baselayers, etc. for sports activities such as soccer,basketball, track and field,combat sports, tennis,American football, athletics, golf,ice hockey, andcross trainingfor men, women, and children. Nike also sells shoes for activities such asskateboarding, baseball, cycling, volleyball,wrestling,cheerleading,lacrosse,cricket, aquatic activities, auto racing, and other athletic and recreational uses. Nike partnered withApple Inc.to produce theNike+product that monitors a runner's performance via a radio device in the shoe that links to theiPod nano. While the product generates useful statistics, it has been criticized by researchers who were able to identify users'RFIDdevices from 60 feet (18 m) away using small, concealable intelligencemotesin awireless sensor network. In 2004, Nike launched theSPARQ Training Program/Division.Some of Nike's newest shoes containFlywireand Lunarlite Foam to reduce weight.The Air Zoom Vomero running shoe, introduced in 2006 and currently in its 11th generation, featured a combination of groundbreaking innovations including a full-length air cushioned sole,an external heel counter, a crashpad in the heel for shock absorption, and Fit Frame technology for a stable fit. In 2023, Nike told ESPN that it would cease using kangaroo skins in its products by the end of that year and debut "a new Nike-only, proprietary synthetic upper, [with] a new material that is a better performance solution and replaces the use of kangaroo leather." The Nike Vaporfly first came out in 2017 and their popularity, along with its performance, prompted a new series of running shoes.The Vaporfly series has a new technological composition that has revolutionized long-distance running since studies have shown that these shoes can improve marathon race time up to 4.2%.The composition of the sole contains a foamy material, Pebax, that Nike has altered and now calls it ZoomX (which can be found in other Nike products as well). Pebax foam can also be found in airplane insulation and is "squishier, bouncier, and lighter" than foams in typical running shoes.In the middle of the ZoomX foam there is a full-length carbon fiber plate "designed to generate extra spring in every step".At the time of this writing Nike had just released its newest product from the Vaporfly line, the Nike ZoomX Vaporfly NEXT%, which was marketed as "the fastest shoe we’ve ever made" using Nike's "two most innovative technologies, Nike ZoomX foam and VaporWeave material".

[["Nike,_Inc.", "launchDate", "1987"], ["Nike,_Inc.", "hasProduct", "Air_Huarache"], ["Nike,_Inc.", "hasProduct", "Air_Zoom_Vomero"], ["Nike,_Inc.", "hasProduct", "Nike_ZoomX_Vaporfly"], ["Nike,_Inc.", "hasProduct", "Nike_ZoomX_Vaporfly_NEXT"], ["Nike,_Inc.", "hasProduct", "Nike_Air_Max"], ["Nike,_Inc.", "hasProduct", "Nike_Air_Max_1"], ["Nike,_Inc.", "hasProduct", "Nike_Air_Max_270"], ["Nike,_Inc.", "hasProduct", "Nike_Air_Zoom_Pegasus"], ["Nike,_Inc.", "hasProduct", "Nike_Air_Zoom_Take_Off"], ["Nike,_Inc.", "hasProduct", "Nike_SB"], ["Nike,_Inc.", "hasProduct", "Nike_SPARQ"], ["Nike,_Inc.", "hasProduct", "Nike_Zoom_Fly"], ["Nike,_Inc.", "hasProduct", "Air_Jordan"], ["Nike,_Inc.", "hasProduct", "Air_Jordan_XX3"], ["Nike,_Inc.", "hasProduct", "Nike+_product"], ["Nike,_Inc.", "hasProduct", "Air_Zoom_Alpha_FL"], ["Nike,_Inc.", "hasProduct", "Air_Zoom_Torque"], ["Nike,_Inc.", "hasProduct", "Air_Zoom_Pegasus_35"], ["Nike,_Inc.", "hasProduct", "Air_Zoom_Spectra"], ["Nike,_Inc.", "hasProduct", "Air_Zoom_Takumi"], ["Nike,_Inc.", "hasProduct", "Air_Zoom_Metro"], ["Nike,_Inc.", "hasProduct", "Air_Zoom_MultiSpeed"], ["Nike,_Inc.", "hasProduct", "Air_Zoom_Stinger"], ["Nike,_Inc.", "hasProduct", "Air_Zoom_Wave"], ["Nike,_Inc.", "hasProduct", "Air_Zoom_Wavefly"], ["Nike,_Inc.", "hasProduct", "Nike_Air_Max_97"], ["Nike,_Inc.", "hasProduct", "Nike_Air_Max_270"], ["Nike,_Inc.", "hasProduct', "Nike_Air_Zoom_Kenya"], ["Nike,_Inc.", "hasProduct', "Nike_Air_Zoom_Pegasus_33"], {"domain": "Nike,_Inc.", "range": "Athlete'}, {"domain": "Nike,_Inc.", "range": "City"}, {"domain": "Nike,_Inc.", "range": "Country'}]


Street fashions

company product service industry brand country location organization person founder position event action founding accusition merger partnership expansion restructuring divestment sale bankruptcy financial_metric business_concept revenue profit loss investment funding market_share competition market_trend regulation innovation sustainability corporate_social_responsibility award date/time year period

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is NER: Named Entity Recognition.

Here is an example of task execution:

{'Schema': ['Person', 'Organization', 'Location', 'Date', 'Product'], 'Text': 'The Eiffel Tower in Paris, designed by Gustave Eiffel, is one of the most famous landmarks in France.', 'Entities': [['Eiffel Tower', 'Location'], ['Paris', 'Location'], ['Gustave Eiffel', 'Person'], ['France', 'Location']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Entity", "Type"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: ["company", "product", "service", "industry", "brand", "country", "location", "organization", "person", "founder", "position", "event", "action", "founding", "accusition", "merger", "partnership", "expansion", "restructuring", "divestment", "sale", "bankruptcy", "financial_metric", "business_concept", "revenue", "profit", "loss", "investment", "funding", "market_share", "competition", "market_trend", "regulation", "innovation", "sustainability", "corporate_social_responsibility", "award", "date/time", "year", "period"]
Text: article: Nike,_Inc, Street fashions: The Nike brand, with its distinctive "Swoosh" logo, quickly became regarded as a status symbolin modernurban fashionandhip-hop fashiondue to its association with success in sport.Beginning in the 1980s, various items of Nike clothing became staples of mainstream Americanyouth fashion, especially tracksuits,shell suits,baseball caps,Air Jordans, Air Force 1's, andAir Maxrunning shoeswith thick, air cushioned rubber soles and contrasting blue, yellow, green, white, or red trim.Limited edition sneakers and prototypes with a regional early release were known asQuickstrikes,and became highly desirable itemsfor teenage members of thesneakerhead subculture. By the 1990s and2000s, American and European teenagersassociated with thepreppyorpopular cliquebegan combining these sneakers,leggings, sweatpants,crop tops,and tracksuits with regularcasual chicstreet clothessuch as jeans, skirts,leg warmers,slouch socks, andbomber jackets. Particularly popularwere the unisex spandex Nike Tempocompression shortsworn for cycling and running,which had a mesh lining, waterproofing, and, later in the 2000s, a zip pocket for aWalkmanorMP3 player. From the late 2000s into the 2010s, Nike Elite basketball socks began to be worn as everyday clothes by hip-hop fans and young children.Originally plain white or black, these socks had special shock absorbing cushioning in the soleplus a moisture wicking upper weave.Later, Nike Elite socks became available in bright colors inspired by throwbackbasketball uniforms,often with contrasting bold abstract designs, images of celebrities,and freehand digital printto capitalize upon the emerging nostalgia for1990s fashion. In 2015, a new self-lacing shoe was introduced. Called theNike Mag, which are replicas of the shoes featured inBack to the Future Part II, it had a preliminary limited release, only available by auction with all proceeds going to theMichael J. Fox Foundation.This was done again in 2016. Nike have introduced a premium line, focused more on streetwear than sports wear called NikeLab. In March 2017, Nike announced its launch of a plus-size clothing line,which will feature new sizes 1X through 3X on more than 200 products.Another significant development at this time was theChuck Taylor All-Star Modern, an update of the classic basketball sneaker that incorporated the circular knit upper and cushioned foam sole of Nike's Air Jordans.

[["Nike,_Inc.", "Company"], ["Swoosh", "Logo"], ["Nike", "Brand"], ["Air_Jordan", "Product"], ["Nike_Mag", "Product"], ["Michael_J._Fox_Foundation", "Organisation"], ["Nike_Lab", "Product"], ["Air_Max", "Product"], ["Chuck_Taylor_All-Star_Moder", "Product"], ["Hip_hop_music", "Country"], ["Urban_fashion", "Country"], ["Nike_Mag", "Company"], ["Back_to_the_Future_Part_II", "Movie"], ["Nike", "Company"], ["Urban_fashion", "Product"], ["Hip_hop_fashion", "Product"], ["Air_Jordan", "Company"], ["Nike_Mag", "Product"], ["Michael_J._Fox_Foundation", "Company"], ["Nike_Lab", "Company"], ["Air_Max", "Company"], ["Urban_fashion", "Company"], ["Hip_hop_fashion", "Company"], ["Nike_Mag", "Company"], ["Back_to_the_Future_Part_II", "Company"], ["Nike", "Company"], ["Urban_fashion", "Product"], ["Hip_hop_fashion", "Product"], ["Air_Jordan", "Company"], ["Nike_Mag", "Product"], ["Michael_J._Fox_Foundation", "Company"], ["Nike_Lab", "Company"], ["Air_Max", "Company"], ["Nike", "Company"], ["Urban_fashion", "Product"], ["Hip_hop_fashion", "Product"], ["Nike_Mag", "Product"], ["Back_to_the_Future_Part_II", "Company"], ["Nike", "Company"], ["Urban_fashion", "Country"], ["Hip_hop_fashion", "Country"], ["Air_Jordan", "Product"], ["Nike_Mag", "Company"], ["Michael_J._Fox_Foundation", "Organisation"], ["Nike_Lab", "Product"], ["Air_Max", "Product"], ["Nike", "Company"], ["Urban_fashion", "Product"], ["Hip_hop_fashion", "Product"], ["Nike_Mag", "Product"], ["Back_to_the_Future_Part_II", "Movie"], ["Nike_Lab", "Company"], ["Michael_J._Fox_Foundation", "Company"], ["Air_Jordan", "Company"], ["Nike", "Company"], ["Urban_fashion", "Country"], ["Hip_hop_fashion", "Country"], ["Nike_Mag", "Company"], ["Air_Max", "Product"], ["Nike_Lab", "Product"], ["2015", "Year"], ["Nike", "Company"], ["Urban_fashion", "Product"], ["Hip_hop_fashion", "Product"], ["Air_Jordan", "Product"], ["Nike_Mag", "Product"], ["Michael_J._Fox_Foundation", "Organisation"], ["Nike_Lab", "Company"], ["Air_Max", "Company"], ["Nike", "Company"], ["Urban_fashion", "Country"], ["Hip_hop_fashion", "Country"], ["Nike_Mag", "Company"], ["2016", "Year"], ["Air_Jordan", "Company"], ["Nike_Lab", "Product"], ["Michael_J._Fox_Foundation", "Company"], ["Nike", "Company"], ["Urban_fashion", "Product"], ["Hip_hop_fashion", "Product"], ["Air_Max", "Product"], ["Nike_Mag", "Product"], ["Back_to_the_Future_Part_II", "Company"], ["Nike_Lab", "Company"], ["Michael_J._Fox_Foundation", "Organisation"], ["Air_Jordan", "Company"], ["Nike", "Company"], ["Urban_fashion", "Country"], ["Hip_hop_fashion", "Country"], ["Nike_Mag", "Company"], ["2017-03-21", "Date"], ["Nike", "Company"], ["Urban_fashion", "Product"], ["Hip_hop_fashion", "Product"], ["Air_Jordan", "Product"], ["Nike_Mag", "Product"], ["Michael_J._Fox_Foundation", "Organisation"], ["Nike_Lab", "Company"], ["Air_Max", "Company"], ["Chuck_Taylor_All-Star_Moder", "Product"]]


Street fashions

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: Nike,_Inc, Street fashions: The Nike brand, with its distinctive "Swoosh" logo, quickly became regarded as a status symbolin modernurban fashionandhip-hop fashiondue to its association with success in sport.Beginning in the 1980s, various items of Nike clothing became staples of mainstream Americanyouth fashion, especially tracksuits,shell suits,baseball caps,Air Jordans, Air Force 1's, andAir Maxrunning shoeswith thick, air cushioned rubber soles and contrasting blue, yellow, green, white, or red trim.Limited edition sneakers and prototypes with a regional early release were known asQuickstrikes,and became highly desirable itemsfor teenage members of thesneakerhead subculture. By the 1990s and2000s, American and European teenagersassociated with thepreppyorpopular cliquebegan combining these sneakers,leggings, sweatpants,crop tops,and tracksuits with regularcasual chicstreet clothessuch as jeans, skirts,leg warmers,slouch socks, andbomber jackets. Particularly popularwere the unisex spandex Nike Tempocompression shortsworn for cycling and running,which had a mesh lining, waterproofing, and, later in the 2000s, a zip pocket for aWalkmanorMP3 player. From the late 2000s into the 2010s, Nike Elite basketball socks began to be worn as everyday clothes by hip-hop fans and young children.Originally plain white or black, these socks had special shock absorbing cushioning in the soleplus a moisture wicking upper weave.Later, Nike Elite socks became available in bright colors inspired by throwbackbasketball uniforms,often with contrasting bold abstract designs, images of celebrities,and freehand digital printto capitalize upon the emerging nostalgia for1990s fashion. In 2015, a new self-lacing shoe was introduced. Called theNike Mag, which are replicas of the shoes featured inBack to the Future Part II, it had a preliminary limited release, only available by auction with all proceeds going to theMichael J. Fox Foundation.This was done again in 2016. Nike have introduced a premium line, focused more on streetwear than sports wear called NikeLab. In March 2017, Nike announced its launch of a plus-size clothing line,which will feature new sizes 1X through 3X on more than 200 products.Another significant development at this time was theChuck Taylor All-Star Modern, an update of the classic basketball sneaker that incorporated the circular knit upper and cushioned foam sole of Nike's Air Jordans.

[["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Max"], ["Nike,_Inc.", "has_product_line", "Nike_Lab"], ["Nike,_Inc.", "has_product_line", "Nike_Mag"], ["Nike,_Inc.", "has_product_line", "TempoCompression"], ["Nike,_Inc.", "has_product_line", "Nike_Elite"], ["Nike,_Inc.", "has_product_line", "Nike_Mag"], ["Nike,_Inc.", "has_product_line", "Nike_Plus-Size"], ["Nike,_Inc.", "has_product_line", "Chuck_Taylor_All-Star_Moderne"], ["Nike,_Inc.", "has_logo", "Swoosh"], ["Nike,_Inc.", "has_product_line", "Air_Force_1"], ["Nike,_Inc.", "has_product_line", "Shell_suit"], ["Nike,_Inc.", "has_product_line", "Tracksuit"], ["Nike,_Inc.", "has_product_line", "Leggings"], ["Nike,_Inc.", "has_product_line", "Sneakerhead"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Back_to_the_Future"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], ["Nike,_Inc.", "has_product_line", "Air_Jordan"], {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", "Air_Jordan"}, {"Air_Jordan", "has_product_line", 'Nike_Mag"}, {"Air_Jordan", "has_product_line", "Nike_Plus-Size"}, {"Air_Jordan", "has_product_line", "Nike_Lab"}, {"Air_Jordan", "has_product_line", "Nike_Elite"}, {"Air_Jordan", "has_product_line", "TempoCompression"}, {"Air_Jordan", "has_product_line", "Nike_Mag"], {"Air_Jordan", "has_product_line", "Nike_Plus-Size"}]


Collectibles

company product service industry brand country location organization person founder position event action founding accusition merger partnership expansion restructuring divestment sale bankruptcy financial_metric business_concept revenue profit loss investment funding market_share competition market_trend regulation innovation sustainability corporate_social_responsibility award date/time year period

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is NER: Named Entity Recognition.

Here is an example of task execution:

{'Schema': ['Person', 'Organization', 'Location', 'Date', 'Product'], 'Text': 'The Eiffel Tower in Paris, designed by Gustave Eiffel, is one of the most famous landmarks in France.', 'Entities': [['Eiffel Tower', 'Location'], ['Paris', 'Location'], ['Gustave Eiffel', 'Person'], ['France', 'Location']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Entity", "Type"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: ["company", "product", "service", "industry", "brand", "country", "location", "organization", "person", "founder", "position", "event", "action", "founding", "accusition", "merger", "partnership", "expansion", "restructuring", "divestment", "sale", "bankruptcy", "financial_metric", "business_concept", "revenue", "profit", "loss", "investment", "funding", "market_share", "competition", "market_trend", "regulation", "innovation", "sustainability", "corporate_social_responsibility", "award", "date/time", "year", "period"]
Text: article: Nike,_Inc, Collectibles: On July 23, 2019, a pair of Nike Inc. running shoes sold for $437,500 at aSotheby'sauction. The so-called "Moon Shoes"were designed by Nike co-founder and track coach Bill Bowerman for runners participating in the 1972 Olympics trials. The buyer wasMiles Nadal, a Canadian investor and car collector, who had just paid $850,000 for a group of 99 rare of limited collection pairs of sport shoes. The purchase price was the highest for one pair of sneakers, the previous record being $190,373 in 2017 for a pair of signedConverseshoes in California, said to have been worn byMichael Jordanduring the 1984 basketball final of the Olympics that year.


Collectibles

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: Nike,_Inc, Collectibles: On July 23, 2019, a pair of Nike Inc. running shoes sold for $437,500 at aSotheby'sauction. The so-called "Moon Shoes"were designed by Nike co-founder and track coach Bill Bowerman for runners participating in the 1972 Olympics trials. The buyer wasMiles Nadal, a Canadian investor and car collector, who had just paid $850,000 for a group of 99 rare of limited collection pairs of sport shoes. The purchase price was the highest for one pair of sneakers, the previous record being $190,373 in 2017 for a pair of signedConverseshoes in California, said to have been worn byMichael Jordanduring the 1984 basketball final of the Olympics that year.

[["Nike,_Inc.", "collectibles", "\"Moon Shoe\""], ["Nike,_Inc.", "collectibles", "Olympics"], ["Nike,_Inc.", "collectibles", "\"99 Pairs of Rare and Limited Collection Sports Shoes\""], ["Nike,_Inc.", "collectibles", "California"], ["Nike,_Inc.", "collectibles", "Michael_Jordan"], ["Nike,_Inc.", "collectibles", "A_Sotheby's_auction"], ["Nike,_Inc.", "collectibles", "\"Bill Bowerman's Moon Shoe\""], ["Nike,_Inc.", "collectibles", "190373.0"], ["Nike,_Inc.", "collectibles", "Miles_Nadal"], ["Nike,_Inc.", "collectibles", "850000.0"], ["Nike,_Inc.", "collectibles", "2019-07-23"], ["Nike,_Inc.", "collectibles", "437500.0"]]


Virtual

company product service industry brand country location organization person founder position event action founding accusition merger partnership expansion restructuring divestment sale bankruptcy financial_metric business_concept revenue profit loss investment funding market_share competition market_trend regulation innovation sustainability corporate_social_responsibility award date/time year period

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is NER: Named Entity Recognition.

Here is an example of task execution:

{'Schema': ['Person', 'Organization', 'Location', 'Date', 'Product'], 'Text': 'The Eiffel Tower in Paris, designed by Gustave Eiffel, is one of the most famous landmarks in France.', 'Entities': [['Eiffel Tower', 'Location'], ['Paris', 'Location'], ['Gustave Eiffel', 'Person'], ['France', 'Location']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Entity", "Type"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: ["company", "product", "service", "industry", "brand", "country", "location", "organization", "person", "founder", "position", "event", "action", "founding", "accusition", "merger", "partnership", "expansion", "restructuring", "divestment", "sale", "bankruptcy", "financial_metric", "business_concept", "revenue", "profit", "loss", "investment", "funding", "market_share", "competition", "market_trend", "regulation", "innovation", "sustainability", "corporate_social_responsibility", "award", "date/time", "year", "period"]
Text: article: Nike,_Inc, Virtual: After acquiring RTFKT, Nike launched the Dunk Genesis Cryptokicks collection, which features over 20,000 NFTs.One design byTakashi Murakamiwas sold for $134,000 in April 2022.

[["Nike,_Inc.", "Company"], ["Dunk_Genesis_Cryptokicks", "Product"], ["RTFKT", "Company"], ["Takashi_Murakami", "Person"], ["134000", "number"], ["2022-04-27", "Date"]]


Virtual

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: Nike,_Inc, Virtual: After acquiring RTFKT, Nike launched the Dunk Genesis Cryptokicks collection, which features over 20,000 NFTs.One design byTakashi Murakamiwas sold for $134,000 in April 2022.

[["Nike,_Inc.", "acquired", "RTFKT"], ["Nike,_Inc.", "launchDate", "2022-04-01"], ["Nike,_Inc.", "product", "Dunk_Genesis_Cryptokicks"], ["Dunk_Genesis_Cryptokicks", "numberOfNFTs", "20000"], ["Dunk_Genesis_Cryptokicks", "designer", "Takashi_Murakami"], ["Dunk_Genesis_Cryptokicks", "price", "134000"]]


Headquarters

company product service industry brand country location organization person founder position event action founding accusition merger partnership expansion restructuring divestment sale bankruptcy financial_metric business_concept revenue profit loss investment funding market_share competition market_trend regulation innovation sustainability corporate_social_responsibility award date/time year period

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is NER: Named Entity Recognition.

Here is an example of task execution:

{'Schema': ['Person', 'Organization', 'Location', 'Date', 'Product'], 'Text': 'The Eiffel Tower in Paris, designed by Gustave Eiffel, is one of the most famous landmarks in France.', 'Entities': [['Eiffel Tower', 'Location'], ['Paris', 'Location'], ['Gustave Eiffel', 'Person'], ['France', 'Location']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Entity", "Type"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: ["company", "product", "service", "industry", "brand", "country", "location", "organization", "person", "founder", "position", "event", "action", "founding", "accusition", "merger", "partnership", "expansion", "restructuring", "divestment", "sale", "bankruptcy", "financial_metric", "business_concept", "revenue", "profit", "loss", "investment", "funding", "market_share", "competition", "market_trend", "regulation", "innovation", "sustainability", "corporate_social_responsibility", "award", "date/time", "year", "period"]
Text: article: Nike,_Inc, Headquarters: Nike's world headquarters are surrounded by the city of Beaverton but are withinunincorporatedWashington County. The city attempted to forcibly annex Nike's headquarters, which led to a lawsuit by Nike, andlobbyingby the company that ultimately ended in Oregon Senate Bill 887 of 2005. Under that bill's terms, Beaverton is specifically barred from forcibly annexing the land that Nike andColumbia Sportswearoccupy in Washington County for 35 years, whileElectro Scientific IndustriesandTektronixreceive the same protection for 30 years. Nike is planning to build a 3.2 million square foot expansion to its World Headquarters in Beaverton.The design will targetLEEDPlatinum certification and will be highlighted by natural daylight, and a gray water treatment center.

[["Nike,_Inc.", "Company"], ["Beaverton,_Oregon", "Location"], ["Washington_County,_Oregon", "Location"], ["Nike,_Inc._world_headquarters", "Building"], ["LEED", "Certification"], ["Oregon_Senate_Bill_887", "Building"], ["Columbia_Sportswear", "Company"], ["Electro_Scientific_Instruments", "Company"], ["Tektronix", "Company"], ["3.2 (million (number))", "number"], ["Gray_water", "Product"], ["Beaverton,_Oregon", "Company"], ["Nike,_Inc._world_headquarters", "Company"], ["LEED_Platinum", "number"], ["Natural_daylight", "Product"]]


Headquarters

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: Nike,_Inc, Headquarters: Nike's world headquarters are surrounded by the city of Beaverton but are withinunincorporatedWashington County. The city attempted to forcibly annex Nike's headquarters, which led to a lawsuit by Nike, andlobbyingby the company that ultimately ended in Oregon Senate Bill 887 of 2005. Under that bill's terms, Beaverton is specifically barred from forcibly annexing the land that Nike andColumbia Sportswearoccupy in Washington County for 35 years, whileElectro Scientific IndustriesandTektronixreceive the same protection for 30 years. Nike is planning to build a 3.2 million square foot expansion to its World Headquarters in Beaverton.The design will targetLEEDPlatinum certification and will be highlighted by natural daylight, and a gray water treatment center.

[["Nike,_Inc.", "has_headquarter", "Beaverton,_Oregon"], ["Nike,_Inc.", "has_headquarter", "Washington_County,_Oregon"], ["Nike,_Inc.", "launched_campaign", "Oregon_Senate_Bill_887"], ["Nike,_Inc.", "has_headquarter", "\"Nike's world headquarters are surrounded by the city of Beaverton, Oregon, but are located in unincorporated Washington County, Oregon.\""], ["Nike,_Inc.", "has_headquarter", "\"Nike is planning to build a 3.2 million square foot expansion to its World Headquarters in Beaverton, Oregon, which will be highlighted by natural daylight and a gray water treatment center. The design will target LEED Platinum certification.\""], ["Nike,_Inc.", "has_headquarter", "\"Beaverton attempted to forcibly annex the Nike World Headquarters, which led to a lawsuit by Nike, Inc. and lobbying by the company that ultimately ended in Oregon Senate Bill 887 of 2005. Under that bill's terms, Beaverton is specifically barred from forcibly annexing the land that Nike and Columbia Sportswear occupy in Washington County for 35 years, while Electro Scientific Industries and Tektronix receive the same protection for 30 years.\""]]


Ownership

company product service industry brand country location organization person founder position event action founding accusition merger partnership expansion restructuring divestment sale bankruptcy financial_metric business_concept revenue profit loss investment funding market_share competition market_trend regulation innovation sustainability corporate_social_responsibility award date/time year period

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is NER: Named Entity Recognition.

Here is an example of task execution:

{'Schema': ['Person', 'Organization', 'Location', 'Date', 'Product'], 'Text': 'The Eiffel Tower in Paris, designed by Gustave Eiffel, is one of the most famous landmarks in France.', 'Entities': [['Eiffel Tower', 'Location'], ['Paris', 'Location'], ['Gustave Eiffel', 'Person'], ['France', 'Location']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Entity", "Type"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: ["company", "product", "service", "industry", "brand", "country", "location", "organization", "person", "founder", "position", "event", "action", "founding", "accusition", "merger", "partnership", "expansion", "restructuring", "divestment", "sale", "bankruptcy", "financial_metric", "business_concept", "revenue", "profit", "loss", "investment", "funding", "market_share", "competition", "market_trend", "regulation", "innovation", "sustainability", "corporate_social_responsibility", "award", "date/time", "year", "period"]
Text: article: Nike,_Inc, Ownership: Nike is mainly owned by institutional investors, who hold around 68% of all shares. The 10 largest shareholders of Nike in early 2024 were:

[["Nike,_Inc", "Company"], ["Institutional_investors", "number"], ["68.0", "number"], ["2024-01-01", "Date"], ["Nike,_Inc", "Product"], ["\"The 10 largest shareholders of Nike, Inc.\"", "string"]]